hightail | automatic tester for programming contests | Learning library

 by   dj3500 Java Version: v0.9.7 License: MIT

kandi X-RAY | hightail Summary

kandi X-RAY | hightail Summary

hightail is a Java library typically used in Tutorial, Learning applications. hightail has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However hightail build file is not available. You can download it from GitHub.

Hightail is an automatic tester for programming contests such as CodeForces rounds. It will parse the problem statement, extract sample test cases (inputs and outputs) from it, and verify the correctness of your program against them. It is built to provide maximum automation and to relieve the contestant as much as possible.

            kandi-support Support

              hightail has a low active ecosystem.
              It has 270 star(s) with 148 fork(s). There are 17 watchers for this library.
              It had no major release in the last 12 months.
              There are 46 open issues and 49 have been closed. On average issues are closed in 303 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of hightail is v0.9.7

            kandi-Quality Quality

              hightail has 0 bugs and 0 code smells.

            kandi-Security Security

              hightail has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              hightail code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              hightail is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              hightail releases are available to install and integrate.
              hightail has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              hightail saves you 2690 person hours of effort in developing the same functionality from scratch.
              It has 5831 lines of code, 296 functions and 51 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hightail and discovered the below as its top functions. This is intended to give you an instant insight into hightail implemented functionality, and help decide if they suit your requirements.
            • Initialize the form components
            • Adds a list of problems to the tabbed pane
            • Display confirmation and close the connection
            • Called when newContistigation is pressed
            • Make keyboard shortcuts
            • Display test tests
            • Saves the tests
            • Initialize the components
            • Open the containing directory button
            • Main entry point
            • Get a match parser for the specified URL
            • Make shortcuts for the tab
            • Starts the HTTP server
            • Make shortcuts to confirm buttons
            • Returns a string representation of the result
            • Loads properties from the properties file
            • Runs the file
            • Adds the popup menu to the tabbed pane
            • Sets the shortcut shortcuts
            • Handles a request
            • Get the renderer for this table
            • Parses the URL and creates a problem
            • Calculates the difference between two outputs
            • Parses the problem
            • Parse the problem from the URL
            • Notifies the end of the test
            Get all kandi verified functions for this library.

            hightail Key Features

            No Key Features are available at this moment for hightail.

            hightail Examples and Code Snippets

            No Code Snippets are available at this moment for hightail.

            Community Discussions


            Count number of occurrences of a string in a cell range matching column and row headers
            Asked 2022-Jan-30 at 11:56

            I have the following two tables in MS Excel.

            I want to count the number of occurrences of 'AB' in the rows of 'Adam' and in the columns of 'Feb' and place in P2 cell.

            Index and Match commands used as follows returns 'AC'. What is the best way to solve this?



            Answered 2022-Jan-30 at 10:05


            Can I fit a spectrum of multiple gaussians whos centroids and peak heights are randomly distributed?
            Asked 2021-Oct-29 at 08:16

            Newbie here, but I've tried to do my due diligence before posting. Apologies for any unintentional faux pas.

            I'm acquiring data from an oscilloscope in the form of a Voltage vs. Time series. The time bins are 0.8nano seconds wide. I run multiple 'data capture' cycles. A single capture will have a fixed number of samples, and between 5 to 15 gaussian peaks with the exact number of peaks being unknown. The gaussian peaks have a relatively constrained FWHM (between 2 and 3 nanoseconds), a varying peak height, and a random arrival time (i.e centroid position is not periodic).

            I've been using Python to fit gaussians to this data and have had some success using the scipy.optimise library and also with the astropy library. Code using scipy.optimise is included below. I can fit multiple gaussians but a key step in my code is providing a "guess" for number of peaks, and for each peak an estimate of the centroid positions, peak height, and peak widths. Is there a way to generalise this code and not have to provide a 'guess'? If I relax the conditions in the 'guess' the fits lose quality. I know that the peaks will be gaussians with a well constrained width, but would like to generalise the code to fit peak centroids and peak heights in any given data capture.



            Answered 2021-Oct-29 at 08:05

            My idea is that we compare the value of the curve with its average value.
            The multiplier variable means how many times the value must be greater than the average in order for us to understand that this is one of the peaks. The first point for a peak exceeding this value is considered the starting point for approximating the average value of this peak.
            I also replaced the lists with arrays for x and y.

            Source https://stackoverflow.com/questions/69764953


            How can I integrate plt.subplots to my code?
            Asked 2020-Jul-09 at 14:31

            I am quite new to python so please bear with me.

            My code so far is below:



            Answered 2020-Jul-09 at 13:16

            Graph created. The cause of the error is an extra space at the end of the column name in the provided CSV file. The code fixes that. If you fixed the column names in the original data, you should also fix the code.

            Source https://stackoverflow.com/questions/62815041


            Printing more than one graph at a time
            Asked 2020-Jul-09 at 05:57

            I am quite new to python so please bear with me.

            My code is below:



            Answered 2020-Jul-09 at 05:57

            The best way to draw multiple graphs is to use plt.subplots(). It's easy. The data is created appropriately.

            Source https://stackoverflow.com/questions/62689251

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install hightail

            Hightail is developed in NetBeans (the UI in particular) and it is highly advisable to use it. It is better to use branches for different features, and read up on Git in general, but the above should be enough to get you started.
            Download and install NetBeans (also JDK if you don't have it; there's a bundled version available). I have used NetBeans 8.0 (and Windows) for this tutorial.
            While it's installing, sign up on Github if you don't have an account. Go to https://github.com/dj3500/hightail and fork the repository (using the Fork button).
            Fire up NetBeans and select Team -> Git -> Clone; Repository URL: https://github.com/YOURUSERNAME/hightail.git/, also enter your Github username and password and select Save password; Next, Next, Finish.
            If it says "Hightail project was cloned. Do you want to open the project?", select Open Project. If it doesn't, or says something else (like prompting you to "Create a project"), cancel and open the imported project yourself (File -> Open Project).
            Change stuff, test, build, run, etc.
            Once you have a working change: Team -> Commit, enter a commit description, Commit. Keep in mind that with Git, commits are only local. You can continue to make new commits. When you want to push your tree (of commits) to Github, select Team -> Remote -> Push To Upstream. The changes will be now publicly visible in your GitHub repository.
            When you want to submit your changes to dj3500 for testing and review (please do test them thoroughly beforehand, though), create a pull request (from the web interface at https://github.com/YOURUSERNAME/hightail). The pull request model is documented at https://help.github.com/articles/using-pull-requests.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries